Dataset Information

TPPP3 Associated with Prognosis and Immune Infiltrates in Head and Neck Squamous Carcinoma.

ABSTRACT: Tubulin polymerization promoting protein family member 3 (TPPP3) is a kind of protein that can mediate the dynamics and stability of microtubules. However, the correlations of TPPP3 between prognosis and immune infiltrates in different tumors are still unclear. The analysis of TPPP3 expression was performed via Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) website. We also used GEPIA to assess the impact of TPPPT3 on clinical outcomes. The related pathways involved in TPPP3 were analyzed by gene-set enrichment analysis (GSEA), and the correlation between TPPP3 and immune infiltration was studied by Tumor Immune Estimation Resource2.0 (TIMER 2.0). The TPPP3 expression was significantly reduced in head and neck squamous carcinoma (HNSC) compared to adjacent tissues. In addition, the low expression of TPPP3 in HNSC was significantly associated with prognosis. The pathways closely related to the low expression of TPPP3 are "Antigen Processing and Presentation," "Primary Immunodeficiency," and so on. The TPPP3 expression was negatively correlated with the level of CD8+ T cell, B cell, and myeloid dendritic cell infiltration in HNSC. The TPPP3 expression is closely related to multiple immunomarkers in CD8+ T cell and Myeloid dendritic cells. These data indicate that TPPP3 is associated with multiple cancers and involves multiple immune-related pathways, and TPPP3 is associated with immune infiltration levels. Besides, the TPPP3 expression may help regulate tumor-associated CD8 + T cells, DC cells in HNSC. We conclude TPPP3 can be considered as a biomarker for predicting head and neck squamous cell carcinoma prognosis and immune infiltration.

SUBMITTER: Yang Z

PROVIDER: S-EPMC7563072 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

TPPP3 Associated with Prognosis and Immune Infiltrates in Head and Neck Squamous Carcinoma.

Yang Zheng Z Li Xiaohong X Li Jingyu J Su Qisheng Q Qiu Yuling Y Zhang Zunni Z Zhang Liqian L Mo Wuning W

BioMed research international 20201006

Tubulin polymerization promoting protein family member 3 (TPPP3) is a kind of protein that can mediate the dynamics and stability of microtubules. However, the correlations of TPPP3 between prognosis and immune infiltrates in different tumors are still unclear. The analysis of TPPP3 expression was performed via Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) website. We also used GEPIA to assess the impact of TPPPT3 on clinical outcomes. The related pathways involved in TPPP3 ...[more]

PMID: 33083464

Similar Datasets

Project description:BackgroundHead and neck squamous cell carcinoma (HNSCC) accounts for 90% of head and neck malignant tumors. As the early symptoms of HNSCC are not obvious, and it is prone to recurrence and metastasis, making the overall survival (OS) rate of patients very low. Existing studies have shown m6A methylation plays a crucial role in various cancers, but it is rarely studied in HNSCC. This study aimed to explore the expression of m6A methylation-related genes in HNSCC and its correlation with prognosis, and to explore its relationship with immune infiltration.MethodsThe gene expression data of HNSCC patient tumor samples (tumor =510) and adjacent normal tissue samples (normal =50) were extracted from The Cancer Genome Atlas (TCGA) database, and the expression characteristics of m6A regulatory factors were described. Kaplan-Meier survival analysis was used to analyze the relationship between m6A regulatory factors and OS and disease-specific survival (DSS). Least absolute shrinkage and selection operator (LASSO) regression was used to construct the m6A regulatory factor-HNSCC risk prediction model. In addition, the relationship between m6A methylation-related genes and tumor immune infiltration were discussed.ResultsThe differential expression of 20 genes were identified by TCGA, and 18 genes (IGF2BP2, IGF2BP1, IGF2BP3, VIRMA, YTHDF1, YTHDF2, YTHDF3, ZC3H13, METTL14, ALKBH5, METTL3, RBMX, WTAP, YTHDC1, FTO, HNRNPC, HNRNPA2B1, and RBM15) were overexpressed in HNSCC. The survival rate of different gene expression levels was different. The high expression of YTHDC1 and YTHDC2 indicated better OS. Furthermore, for DSS, increased expression of YTHDC2 was also correlated with better clinical outcomes (P<0.05). At the same time, we drew a 3-gene risk score model in the TCGA-HNSCC cohort, and the survival curve showed compared with low-risk patients, high-risk patients had significantly worse OS (P<0.05). Gene enrichment analysis showed EPITHELIAL_MESENCHYMAL_TRANSITIO, MTORC1_SIGNALING, MYC_TARGETS_V1, MYC_TARGETS_V2, MYOGENESIS pathways, high TP53 mutations, and suppressive immunity were related to the high-risk group. The low-risk group was related to ALLOGRAFT_REJECTION, COMPLEMENT, IL6_JAK_STAT3_SIGNALING, INTERFERON_ALPHA_RESPONSE, INTERFERON_GAMMA_RESPONSE pathways, low TP53 mutations, and active immunity.ConclusionsThe m6A methyltransferase-related genes can predict the prognosis of HNSCC and are related to immune infiltration.

Project description:BackgroundIncreased evidence has indicated that the tumour microenvironment plays an essential in the development, treatment and prognosis of head and neck squamous cell carcinoma (HNSC). Recent studies have indicated CC chemokine receptor 4 (CCR4) plays an essential role in tumor invasion and other adverse biological behavior. This study used data from the Cancer Genome Atlas (TCGA) database to explore the role of CCR4 in HNSC and its clinical significance.MethodsThe gene expression and clinical data of HNSC patients in the TCGA database were extracted. Gene Expression Profiling Interactive Analysis (GEPIA) was used to analyze the expression of CCR4 in tumor and non-tumor tissue. Kaplan-Meier survival analysis was used to analyze the relationship between CCR4 expression and overall survival rate (OS), disease-specific survival (DSS), and progression-free interval (PFI) in HNSC. A logistic regression model was used to analyze the relationships between various clinical factors and CCR4 expression. Gene Set Enrichment Analysis (GSEA) was used to explore the potential role of CCR4 in HNSC. Additionally, we explored the relationship between CCR4 and immune infiltration.ResultsThe expression of CCR4 in HNSC was not significantly different from that in normal tissue. The expression level of CCR4 in wild-type TP53 was higher than that in mutant TP53. Cox regression analysis showed the expression level of CCR4 was related to the patient's tumor grade and Tumor-Node-Metastasis (TNM) stage. CCR4 expression level is an independent prognostic factor. CCR4 is positively correlated with immune infiltration and immune checkpoints expression levels. The results of GSEA revealed that the high CCR4 expression group genes were enriched in allograft rejection, inflammatory response, IL-6/JAK/STAT3 signaling, interferon gamma response, and KRAS signaling up. Low CCR4 expression group genes were enriched in oxidative phosphorylation, MYC targets v1, DNA repair, reactive oxygen species pathway, and P53 pathway. Further, our study indicated CCR4 can also predict the prognosis of radiotherapy patients.ConclusionsOur study found that CCR4 was a prognostic marker related to HNSC immune infiltration, and patients with high expression of CCR4 had a better prognosis.

Project description:BackgroundImmune-related genes (IRGs) were linked to the prognosis of head and neck squamous cell carcinoma (HNSCC). This study aimed to identify the effects of an immune-related gene signature (IRGS) that can predict the of HNSCC prognosis.MethodsThe expression data of 770 HNSCC patients from the TCGA database and the GEO database were used. To explore a predictive model, the Cox proportional hazards model was applied. The Kaplan-Meier survival analysis, as well as univariate and multivariate analyses were performed to evaluate the independent predictive value of IRGS. To explore biological functions of IRGS, enrichment analyses and pathway annotation for differentially expressed genes (DEGs) in different immune groups were applied, as well as the immune infiltration.ResultsA prognostic signature comprising 27 IRGs was generated. IRGS significantly stratified HNSCC patients into high and low immune risk groups in regard to overall survival in the training cohort (HR = 3.69, 95% CI 2.73-4.98, P < 0.001). Likewise, IRGS could be linked to the prognosis of HNSCC in patients of the validation cohort (HR = 1.84, 95% CI 1.21-2.81, P < 0.01). Even after adjusting for TNM stage, IRGS was maintained as an independent predictor in the multivariate analysis (HR = 3.62, 95% CI 2.58-5.09, P < 0.001), and in the validation cohort (HR = 1.73, 95% CI 1.12-2.67, P = 0.014). The IFN-α response, the IFN-γ response, IL-2/STAT5 signaling, and IL-6/JAK/STAT3 signaling were all negatively correlated with the immune risk (P < 0.01). Immune infiltration of the high-risk group was significantly lower than that of the low-risk group (P < 0.01). Most notably, the infiltration of CD8 T cells, memory-activated CD4 T cells, and regulatory T cells was strongly upregulated in the low immune risk groups, while memory resting CD4 T cell infiltration was downregulated (P < 0.01).ConclusionOur analysis provides a comprehensive prognosis of the immune microenvironments and outcomes for different individuals. Further studies are needed to evaluate the clinical application of this signature.

Dataset Information

TPPP3 Associated with Prognosis and Immune Infiltrates in Head and Neck Squamous Carcinoma.

Publications

TPPP3 Associated with Prognosis and Immune Infiltrates in Head and Neck Squamous Carcinoma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets